If you’ve been following my recent posts on Metaduck, you know I spend my days building infrastructure for AI agents and wrangling LLMs into production. As software engineers, we’re used to treating neural networks as massive, static mathematical graphs powered by backpropagation and matrix multiplication running on beefy GPUs (e.g. with PyTorch or similar).
这场发生在 120 分钟内的密集攻防，标志着全球 AI 巨头的竞争逻辑已经发生实质性转移：单纯的参数比拼告一段落，围绕推理成本、交互摩擦力以及工作流驻留权的深度博弈，正式拉开帷幕。
。关于这个话题，safew官方版本下载提供了深入分析
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# Markdown report (auto-detects SIGBUS and lost wakeups)